Uncertainty Principle

Related lectures (28)

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Covers the diagonalization of linear transformations in R^3, exploring properties and examples.

Explores the properties of invertible matrices, including unique solutions and linear independence.

Covers linear applications, matrices, transformations, and the principle of superposition.

Explores matrix similarity, diagonalization, characteristic polynomials, eigenvalues, and eigenvectors in linear algebra.

Covers matrix eigenvalues, eigenvectors, and their linear independence.

Covers the concept of basis, linear transformations, matrices, inverses, determinants, and bijective transformations.

Explores injective and surjective linear transformations, kernel, image, and matrix operations.

Covers eigenvalues and eigenvectors, explaining their importance in linear algebra.

Explores linear mapping, isomorphism, and change of bases in vector spaces.

Explores eigenvalues, ladder operations, and quantum number values in quantum physics.